Taking a heavier toll? Racial differences in the effects of workplace mistreatment on depression.

Previous studies have found that workplace mistreatment positively relates to depression, a critical mental health disorder. However, it is unknown whether mistreatment affects all individuals' depressive symptoms equally. Drawing from the hopelessness theory of depression and the stigma literature, we suggest that Blacks suffer from greater depression than Whites when they experience similar levels of workplace mistreatment because Blacks, as members of a racial minority group, are more likely to attribute workplace mistreatment to their race. This, in turn, causes them to make a pessimistic attribution (i.e., attributions that are internal, stable, and global) about themselves that, ultimately, leads to depression. We tested these predictions across two studies. In Study 1, we used a multiyear time-lagged design and multiple indicators of depression (i.e., self-reported clinical depression scale, device-traced sleep quantity, and self-reported sleep quality) and found that the positive relationship between workplace mistreatment and depression was stronger for Blacks than Whites, and that these patterns were consistent across the various indicators (although only results with the clinical depression scale and sleep quantity were statistically significant). In Study 2, we found that the influence of workplace mistreatment on depression is partly due to racial differences in how workplace mistreatment is attributed. We conclude by discussing the theoretical and practical implications of these findings and directions for future research. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Getting along to get ahead: The role of social context in tournament promotion and reward systems.

Tournament theory posits that some organizations are modeled after sports tournaments whereby individuals are incentivized to compete and win against other members of the organization. A persistent criticism of tournament theory is that rank-order success of employees is entirely dependent on non-interacting or at least non-cooperating entities. To address what part, if any, cooperation plays in competitive tournaments, this study examines the role of social networks in tournament-style promotion and reward systems. Specifically, we seek to identify the importance of social relationships, such as group dissimilarity, initial tie formation, and tie strength in predicting tournament success. Bringing two largely independent research streams together (one focused on cooperation and one framed around competition), we examine how individuals' performance interacts with their social relationships-their social networks-to influence their chances of winning a tournament. Using the Survivor television series, we analyze the behaviors of 535 interacting contestants across 30 tournaments. In general, the findings help to illustrate how performance and social networks predict tournament advancement. Interestingly, we find that group dissimilarity based on gender, race, and age, largely does not play a role in advancement in the tournaments. Further, the strength of ties fails to mediate between variables such as group dissimilarity and initial tie formation. We conclude by discussing future directions for theoretical and practical exploration of tournament-style promotion systems. Recommendations include continuing to explore and test the role of social dynamics in compensation and promotion systems.

Individual differences in ethics positions: The EPQ-5.

We revised the Ethics Position Questionnaire (EPQ), which measures variations in sensitivity to harm (idealism) and to moral standards (relativism). Study 1 identified the core components of the measured constructs theoretically and verified those features through confirmatory factor analysis (n = 2,778). Study 2 replicated these findings (n = 10,707), contrasted the theoretically defined two-factor model to alternative models, and tested for invariance of factor covariances and mean structures for men and women. Study 3 examined the relationship between the EPQ and related indicators of ethical thought (values and moral foundations) and the theory's four-fold classification typology of exceptionists, subjectivists, absolutists, and situationists. The three studies substantially reduced the original EPQ's length, clarified the conceptual interpretation of the idealism and relativism scales, affirmed the EPQ's predictive and convergent validity, and supported the four-fold classification of individuals into ethics positions. Implications for previous findings and suggestions for future research are discussed.

Sleep and self-control: A systematic review and meta-analysis.

Controlling impulses and overcoming temptations (i.e., self-control) are key aspects of living a productive life. There is a growing yet disperse literature indicating that sleep is an important predictor of self-control. The goal of this meta-analysis is to empirically integrate the findings from multiple literatures, and investigate whether sleep quality, and sleep duration predict self-control. To provide a thorough understanding of the proposed relationships, this meta-analysis also investigated potential differences between the level of analysis (between-individual vs. within-individual), research design (experiment vs. correlation; and cross-sectional vs. time-lagged), and types of measure (subjective vs. objective for sleep and self-control). A systematic review was conducted through ABI/Inform (including PsycInfo), ERIC, ProQuest Dissertation & Theses, PubMed, and Psychology Database using keywords related to self-control and sleep. Sixty-one independent studies met the inclusion criteria. The results, in general, suggest that sleep quality (between-individual 0.26, CI 0.21; 0.31; and within-individual 0.35, CI 0.24; 0.45), and sleep duration (between-individual 0.14, CI 0.07; 0.21; and within-individual 0.20, CI 0.09; 0.31) are all related to self-control. Given the impact of self-control on how individuals live productive lives, a future research agenda should include a deeper investigation in the causal process (potentially via prefrontal cortex activity) linking sleep and self-control, and an examination of the moderators (individual and contextual variables) that could impact the relationship between sleep and self-control.

The "Goldilocks Zone": (Too) many confidence intervals in tests of mediation just exclude zero.

Questionable research practices (QRPs) can occur whenever one result is favored over another, and tests of mediation are no exception. Given mediation's ubiquity and importance to both theory and practice, QRPs in tests of mediation pose a serious threat to the advancement of psychology. We investigate this issue through the introduction of a straightforward means of detecting the presence and magnitude of QRPs in tests of mediation and validate this methodology with a series of sensitivity tests and simulations. We then apply this method to 2,569 tests of mediation published in five leading psychology journals in 2018 and 2019. We find that despite most hypothesized tests of mediation being likely underpowered, most (76%) were nevertheless supported. Furthermore, confidence intervals (CIs) that just barely exclude zero are 3.6 to 4.4 times as prevalent as those CIs that just barely include zero. We also find a number of study- and test-level factors, such as whether the test of mediation was hypothesized, explain both whether the CI excluded zero (odds ratio [OR] = 17.87, p < .001) as well as the CI's proximity to zero (b = .27, p < .001). In addition, other factors, most notably sample size, do predict the CI's proximity to zero (γ = .00, p < .001), but surprisingly do not predict the CI's exclusion of zero (OR = .99, p = .803). We conclude with actionable QRP curtailment strategies so that both, academics and practitioners, can have greater and well-founded confidence in tests of mediation in psychological research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

An eye for an eye? A meta-analysis of negative reciprocity in organizations.

Most models of negative workplace behaviors (NWB) are individual in nature, focusing on individual attitudes (e.g., satisfaction) and general workplace perceptions (e.g., procedural justice) that motivate NWB. Less commonly considered are explorations of relationally based negative workplace behaviors-how NWB from Party A is related to reciprocation of NWB from Party B. Based on 2 competing conceptualizations in the literature, that behavior is reciprocated "in-kind" in an eye for an eye exchange or that behavior tends to escalate or spiral over time, we develop a framework for negative reciprocity that considers NWB in terms of severity, activity, and target. This framework addresses (a) whether Party A's NWB is associated with behavior of a similar or greater level (i.e., activity and severity) from Party B; and (b) whether Party B's reciprocating behavior is directed back at Party A (i.e., direct) or transferred onto others (i.e., displaced). We meta-analytically test these relationships with 246 independent samples (N = 96,930) and find strongest support for relationships indicating that NWB from Party A is largely returned in-kind, followed closely by relationships indicative of escalation. We also found that as the frequency of Party A's NWB increases, so too does the frequency of reciprocity behavior of equal levels. Surprisingly, differences related to the target of the behavior as well as differences based on whether the data were cross-sectional or longitudinal were generally negligible. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The problem of effect size heterogeneity in meta-analytic structural equation modeling.

Scholars increasingly recognize the potential of meta-analytic structural equation modeling (MASEM) as a way to build and test theory (Bergh et al., 2016). Yet, 1 of the greatest challenges facing MASEM researchers is how to incorporate and model meaningful effect size heterogeneity identified in the bivariate meta-analysis into MASEM. Unfortunately, common MASEM approaches in applied psychology (i.e., Viswesvaran & Ones, 1995) fail to account for effect size heterogeneity. This means that MASEM effect sizes, path estimates, and overall fit values may only generalize to a small segment of the population. In this research, we quantify this problem and introduce a set of techniques that retain both the true score relationships and the variability surrounding those relationships in estimating model parameters and fit indices. We report our findings from simulated data as well as from a reanalysis of published MASEM studies. Results demonstrate that both path estimates and overall model fit indices are less representative of the population than existing MASEM research would suggest. We suggest 2 extension MASEM techniques that can be conducted using online software or in R, to quantify the stability of model estimates across the population and allow researchers to better build and test theory. (PsycINFO Database Record

Ideal, nonideal, and no-marker variables: The confirmatory factor analysis (CFA) marker technique works when it matters.

A persistent concern in the management and applied psychology literature is the effect of common method variance on observed relations among variables. Recent work (i.e., Richardson, Simmering, & Sturman, 2009) evaluated 3 analytical approaches to controlling for common method variance, including the confirmatory factor analysis (CFA) marker technique. Their findings indicated significant problems with this technique, especially with nonideal marker variables (those with theoretical relations with substantive variables). Based on their simulation results, Richardson et al. concluded that not correcting for method variance provides more accurate estimates than using the CFA marker technique. We reexamined the effects of using marker variables in a simulation study and found the degree of error in estimates of a substantive factor correlation was relatively small in most cases, and much smaller than error associated with making no correction. Further, in instances in which the error was large, the correlations between the marker and substantive scales were higher than that found in organizational research with marker variables. We conclude that in most practical settings, the CFA marker technique yields parameter estimates close to their true values, and the criticisms made by Richardson et al. are overstated.

Absence of malice: a meta-analysis of nonresponse bias in counterproductive work behavior research.

Despite the alleged frequency of counterproductive work behavior (CWB) in the population, most samples exhibit exceedingly low base rates. One potential explanation for this incongruence is nonresponse bias, which leads to range restriction in the CWB distribution. We investigated this possibility by determining whether response rates within CWB research were lower than that found across management research and whether range restriction could explain reduced CWB engagement. We also examined whether range restriction attenuated CWB's relations to other variables. Our primary findings are that reported response rates for studies containing CWB measures are substantially lower (37%) than response rates reported within the general management literature (53%) and that range restriction is likely present in the CWB literature, resulting in low base rates and attenuated relations to CWB. In addition, tests of publication bias indicated that low response rates are less likely to be reported, and the true response rate within the CWB literature may be considerably lower.

Why does self-reported emotional intelligence predict job performance? A meta-analytic investigation of mixed EI.

Recent empirical reviews have claimed a surprisingly strong relationship between job performance and self-reported emotional intelligence (also commonly called trait EI or mixed EI), suggesting self-reported/mixed EI is one of the best known predictors of job performance (e.g., ρ = .47; Joseph & Newman, 2010b). Results further suggest mixed EI can robustly predict job performance beyond cognitive ability and Big Five personality traits (Joseph & Newman, 2010b; O'Boyle, Humphrey, Pollack, Hawver, & Story, 2011). These criterion-related validity results are problematic, given the paucity of evidence and the questionable construct validity of mixed EI measures themselves. In the current research, we update and reevaluate existing evidence for mixed EI, in light of prior work regarding the content of mixed EI measures. Results of the current meta-analysis demonstrate that (a) the content of mixed EI measures strongly overlaps with a set of well-known psychological constructs (i.e., ability EI, self-efficacy, and self-rated performance, in addition to Conscientiousness, Emotional Stability, Extraversion, and general mental ability; multiple R = .79), (b) an updated estimate of the meta-analytic correlation between mixed EI and supervisor-rated job performance is ρ = .29, and (c) the mixed EI-job performance relationship becomes nil (ß = -.02) after controlling for the set of covariates listed above. Findings help to establish the construct validity of mixed EI measures and further support an intuitive theoretical explanation for the uncommonly high association between mixed EI and job performance--mixed EI instruments assess a combination of ability EI and self-perceptions, in addition to personality and cognitive ability.

A Meta-Analytic Test of Redundancy and Relative Importance of the Dark Triad and Five-Factor Model of Personality.

We examined the relationships between Machiavellianism, narcissism, and psychopathy-the three traits of the Dark Triad (DT)-and the Five-Factor Model (FFM) of personality. The review identified 310 independent samples drawn from 215 sources and yielded information pertaining to global trait relationships and facet-level relationships. We used meta-analysis to examine (a) the bivariate relations between the DT and the five global traits and 30 facets of the FFM, (b) the relative importance of each of the FFM global traits in predicting DT, and (c) the relationship between the DT and FFM facets identified in translational models of narcissism and psychopathy. These analyses identified consistent and theoretically meaningful associations between the DT traits and the facets of the FFM. The five traits of the FFM, in a relative importance analysis, accounted for much of the variance in Machiavellianism, narcissism, and psychopathy, respectively, and facet-level analyses identified specific facets of each FFM trait that were consistently associated with narcissism (e.g., angry/hostility, modesty) and psychopathy (e.g., straightforwardness, deliberation). The FFM explained nearly all of the variance in psychopathy (R(2) c = .88) and a substantial portion of the variance in narcissism (R(2) c = .42).

Mind-sets matter: a meta-analytic review of implicit theories and self-regulation.

This review builds on self-control theory (Carver & Scheier, 1998) to develop a theoretical framework for investigating associations of implicit theories with self-regulation. This framework conceptualizes self-regulation in terms of 3 crucial processes: goal setting, goal operating, and goal monitoring. In this meta-analysis, we included articles that reported a quantifiable assessment of implicit theories and at least 1 self-regulatory process or outcome. With a random effects approach used, meta-analytic results (total unique N = 28,217; k = 113) across diverse achievement domains (68% academic) and populations (age range = 5-42; 10 different nationalities; 58% from United States; 44% female) demonstrated that implicit theories predict distinct self-regulatory processes, which, in turn, predict goal achievement. Incremental theories, which, in contrast to entity theories, are characterized by the belief that human attributes are malleable rather than fixed, significantly predicted goal setting (performance goals, r = -.151; learning goals, r = .187), goal operating (helpless-oriented strategies, r = -.238; mastery-oriented strategies, r = .227), and goal monitoring (negative emotions, r = -.233; expectations, r = .157). The effects for goal setting and goal operating were stronger in the presence (vs. absence) of ego threats such as failure feedback. Discussion emphasizes how the present theoretical analysis merges an implicit theory perspective with self-control theory to advance scholarship and unlock major new directions for basic and applied research.

A meta-analysis of the Dark Triad and work behavior: a social exchange perspective.

We reviewed studies of the Dark Triad (DT) personality traits--Machiavellianism, narcissism, and psychopathy-and meta-analytically examined their implications for job performance and counterproductive work behavior (CWB). Relations among the DT traits and behaviors were extracted from original reports published between 1951 and 2011 of 245 independent samples (N = 43,907). We found that reductions in the quality of job performance were consistently associated with increases in Machiavellianism and psychopathy and that CWB was associated with increases in all 3 components of the DT, but that these associations were moderated by such contextual factors as authority and culture. Multivariate analyses demonstrated that the DT explains moderate amounts of the variance in counterproductivity, but not job performance. The results showed that the 3 traits are positively related to one another but are sufficiently distinctive to warrant theoretical and empirical partitioning.

Decomposing model fit: measurement vs. theory in organizational research using latent variables.

Goodness-of-fit indices have an important role in structural equation model evaluation. However, some studies (e.g., McDonald & Ho, 2002; Mulaik et al., 1989) have raised concerns that overall fit values primarily reflect the fit of the measurement model, and this allows significant misspecification among the latent variables to be masked. Using an approach analogous to Anderson and Gerbing's (1988) 2-step approach that isolates the measurement component of a composite model, we present the rationale and evidence for the root mean square error of approximation of the path component (RMSEA-P), a relatively new fit index that isolates the path component. We reviewed 5 of the top organizational behavior/human resources journals from 2001 to 2008 and identified 43 studies using structural equation modeling in which the overall composite model could be decomposed into its measurement and path components. The RMSEA-P for these studies generally showed unfavorable results, with many values failing to meet commonly accepted standards. Incorporating the RMSEA-P and its confidence interval into James, Mulaik, and Brett's (1982) framework for model testing, we provide evidence that many of the conclusions based upon the goodness of fit of the overall model may be inaccurate. We conclude with recommendations for how researchers can focus more attention on path models and latent variable relations and improve their model evaluation process.